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Netradyne - Senior Staff Machine Learning Engineer
Netradyne - Senior Staff Machine Learning EngineerNetraDyne Technology India Private Limited • Bangalore
Netradyne - Senior Staff Machine Learning Engineer

Netradyne - Senior Staff Machine Learning Engineer

NetraDyne Technology India Private Limited • Bangalore
4 days ago
Job description

ROLE AND RESPONSIBILITIES :

You will be embedded within a team of machine learning engineers and data scientists; responsible for building and productizing generative AI and deep learning solutions.

You will :

  • Design, develop, and evaluate generative AI models for vision and data science tasks.
  • Collaborate with cross-functional teams to integrate AI-driven solutions into business operations.
  • Build and enhance frameworks for automation, data processing, and model deployment.
  • Develop and deploy AI agents, including Retrieval-Augmented Generation (RAG) systems.
  • Utilize Gen-AI tools and workflows to improve the efficiency and effectiveness of AI solutions.
  • Conduct research and stay updated with the latest advancements in generative AI and related technologies.

REQUIREMENTS :

  • B. Tech, M. Tech or PhD in computer science, electrical engineering, statistics or math (From IIT's or IISC)
  • At least 8 years of working experience in data science, computer vision, or related domain.
  • Proven experience with building and deploying generative AI solutions.
  • Strong programming skills in Python and solid fundamentals in computer science, particularly in algorithms, data structures, and OOP.
  • Experience with Gen-AI tools and workflows.
  • Proficiency in both vision-related AI and data analysis using generative AI.
  • Experience with cloud platforms and deploying models at scale.
  • Experience with transformer architectures and large language models (LLMs).
  • Familiarity with frameworks such as TensorFlow, PyTorch, and Hugging Face.
  • Proven leadership and team management skills.
  • DESIRED SKILLS :

  • Working experience with AWS is a plus.
  • Knowledge of best practices in software development, including version control, testing, and continuous integration.
  • Working knowledge of common industry frameworks and tools around building LLMs, such as OpenAI, GPT, BERT, etc.
  • Experience with MLOps tools and practices for continuous deployment and monitoring of AI models.
  • (ref : hirist.tech)

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